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GPT-6 Sol vs Qwen3.8-Flash-Next

GPT-6 Sol and Qwen3.8-Flash-Next are closely matched at 49.4 and 48.8 on the LLM Stats Score.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6 Sol and Qwen3.8-Flash-Next are closely matched on the overall LLM Stats Score at 49.4 and 48.8.

In the 3 individual benchmarks reported for both models, GPT-6 Sol wins 3; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-6 Sol

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen3.8-Flash-Next

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
49.4
#21
48.8
#23
45.6
#29
48.6
#18
35.8
#25
35.3
#28
36.7
#15
34.3
#24
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6 Sol
Qwen3.8-Flash-Next
26.6#25
29.1#12
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for GPT-6 Sol · 22 for Qwen3.8-Flash-Next

3 shared

GPT-6 Sol outperforms in 3 benchmarks (Agents' Last Exam, DeepSWE 1.1, OSWorld 2.0), while Qwen3.8-Flash-Next is better at 0 benchmarks.

GPT-6 Sol significantly outperforms across most benchmarks.

Wed Sep 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6 Sol specifies input context (1,050,000 tokens). Only GPT-6 Sol specifies output context (128,000 tokens).

OpenAI
GPT-6 Sol
Input1,050,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Sol and Qwen3.8-Flash-Next support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-6 Sol

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Sol is licensed under a proprietary license, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-6 Sol

Proprietary

Closed source

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

GPT-6 Sol was released on 2026-09-22, while Qwen3.8-Flash-Next was released on 2026-08-26.

GPT-6 Sol is 1 month newer than Qwen3.8-Flash-Next.

GPT-6 Sol

Sep 22, 2026

0 days ago

3w newer
Qwen3.8-Flash-Next

Aug 26, 2026

3 weeks ago

Knowledge Cutoff

When training data ends

GPT-6 Sol has a documented knowledge cutoff of 2026-04-20, while Qwen3.8-Flash-Next's cutoff date is not specified.

We can confirm GPT-6 Sol's training data extends to 2026-04-20, but cannot make a direct comparison without Qwen3.8-Flash-Next's cutoff date.

GPT-6 Sol

Apr 2026

Qwen3.8-Flash-Next

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-6 Sol and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

GPT-6 Sol
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about GPT-6 Sol vs Qwen3.8-Flash-Next.

Which is better, GPT-6 Sol or Qwen3.8-Flash-Next?

GPT-6 Sol and Qwen3.8-Flash-Next are closely matched on the LLM Stats Score at 49.4 and 48.8. GPT-6 Sol is made by OpenAI and Qwen3.8-Flash-Next is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6 Sol compare to Qwen3.8-Flash-Next in benchmarks?

GPT-6 Sol scores DeepSWE 1.1: 68.8%, OSWorld 2.0: 64.4%, Agents' Last Exam: 56.4%, FrontierCode 1.1: 49.3%, AutomationBench v1.0.6: 33.2%. Qwen3.8-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the context window sizes for GPT-6 Sol and Qwen3.8-Flash-Next?

GPT-6 Sol supports 1.1M tokens and Qwen3.8-Flash-Next supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-6 Sol and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (49.4 vs 48.8), licensing (Proprietary vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Sol and Qwen3.8-Flash-Next?

GPT-6 Sol is developed by OpenAI and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.